Impact of iterative reconstructions on image quality and detectability of focal liver lesions in low-energy monochromatic images.


Journal

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
ISSN: 1724-191X
Titre abrégé: Phys Med
Pays: Italy
ID NLM: 9302888

Informations de publication

Date de publication:
Sep 2020
Historique:
received: 05 05 2020
revised: 17 06 2020
accepted: 17 07 2020
pubmed: 11 8 2020
medline: 25 9 2020
entrez: 11 8 2020
Statut: ppublish

Résumé

To assess the impact of iterative reconstructions on image quality and detectability of focal liver lesions in low-energy monochromatic images from a Fast kV-Switching Dual Energy CT (KVSCT) platform. Acquisitions on an image-quality phantom were performed using a KVSCT for three dose levels (CTDI From 40 to 70 keV, noise-magnitude was reduced on average by -68% ± 1% with FBP; -61% ± 3% with ASIR50 and -52% ± 6% with ASIR100. The mean spatial frequency of the NPS decreased when the energy level decreased and the iterative level increased. TTF values at 50% decreased as the energy level increased and as the percentage of ASIR increased. The detectability of both lesions increased with increasing dose level and percentage of ASIR. For the LM, d' peaked at 70 keV for all reconstruction types, except for ASIR70 at 12.72 mGy and ASIR100, where d' peaked at 50 keV. For HCC, d' peaked at 60 keV for FBP and ASIR30 but peaked at 50 keV for ASIR50, ASIR70 and ASIR100. Using percentage of ASIR above 50% at low-energy monochromatic images could limit the increase of noise-magnitude, benefit from spatial resolution improvement and hence enhance detectability of subtle low contrast focal liver lesions such as HCC.

Identifiants

pubmed: 32771702
pii: S1120-1797(20)30184-8
doi: 10.1016/j.ejmp.2020.07.024
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

36-42

Informations de copyright

Copyright © 2020 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Auteurs

J Greffier (J)

Department of Medical Imaging, CHU Nimes, Univ Montpellier, Medical Imaging Group Nimes, EA 2415, Nîmes, France. Electronic address: joel.greffier@chu-nimes.fr.

J Frandon (J)

Department of Medical Imaging, CHU Nimes, Univ Montpellier, Medical Imaging Group Nimes, EA 2415, Nîmes, France.

A Hamard (A)

Department of Medical Imaging, CHU Nimes, Univ Montpellier, Medical Imaging Group Nimes, EA 2415, Nîmes, France.

J M Teissier (JM)

Service d'imagerie médicale, GIE Imagerie, Institut de Cancérologie du Gard, Nîmes, France.

H Pasquier (H)

GE Healthcare, Buc, France.

J P Beregi (JP)

Department of Medical Imaging, CHU Nimes, Univ Montpellier, Medical Imaging Group Nimes, EA 2415, Nîmes, France; Service d'imagerie médicale, GIE Imagerie, Institut de Cancérologie du Gard, Nîmes, France.

D Dabli (D)

Department of Medical Imaging, CHU Nimes, Univ Montpellier, Medical Imaging Group Nimes, EA 2415, Nîmes, France.

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Classifications MeSH